Article

Asian Business & Management (2007) 6, 75–94. doi:10.1057/palgrave.abm.9200206

The Japanese Pharmaceutical Industry in Transition: Has Higher Research Orientation Resulted in Higher Market Value?

Jörg Mahlich

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Abstract

We analyze here the determinants of market value for 34 listed Japanese pharmaceutical companies between 1987 and 1998. During this period, Japanese pharmaceutical firms increased their investments in basic R&D in the process of preparing for international market expansion. We provide evidence that international patents significantly contribute to a firm's market value, expressed in Tobin's q, while publications in the scientific literature do not contribute to this value. In contrast to earlier studies on the US pharmaceutical industry, such as Gambardella (1992), our findings also suggest that in Japan a firm's publications and patents are not inter-related.

Keywords:

pharmaceutical industry, Tobin's q, R&D strategy, Japan

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Introduction

The Japanese pharmaceutical industry exemplifies the nation's general drive towards a dominant global standard, a model characterized by high research intensity and high innovative readiness. Pharmaceutical companies that do not follow this lead are destined to forfeit market power. This trend emerged in the late 1980s, up till when Japan's pharmaceutical firms found themselves in an ideal environment for their immediate intents and purposes. Protected from international competition, these firms were able to charge excessive prices for products for which there would be little or no demand on a global scale. The regulatory regime made the pharmaceutical industry by far the most profitable activity in Japan at the time (Odagiri and Yamawaki, 1986). However, times have changed, as the Japanese government has successfully reduced prices for pharmaceuticals and reduced entry barriers for foreign firms. As a result, Japanese companies have witnessed a dramatic decrease in their domestic market share. To offset this trend, they have started to redefine their strategies towards a higher degree of internationalization.

However, striving for internationalization is easier said than done, since global pharmaceutical markets are intensely science-based and competition is mainly driven by innovative new drugs offering additional value to patients. The Japanese regulatory regime, however, has favoured incremental innovation and thus local firms had only limited experience with research excellence. Moreover, it was all too often good personal relations with the health authorities that secured fast-track approval of new drugs in Japan, thereby giving Japanese firms a competitive edge over foreign rivals. Success factors in international markets have been totally different. Consequently, it has been difficult for most Japanese pharmaceutical companies to navigate into and within global markets. The path chosen by most Japanese firms has been to increase their R&D budgets and set up R&D centres abroad, in order to tap into foreign knowledge bases.

This strategic shift is reflected in the stark increase in scientific publications authored by researchers from Japanese pharmaceutical firms. In other words, Japanese firms have responded to the new challenges with heavy investment in intangible capital. This article examines whether such a strategy has been rewarded by financial markets. In order to do this, we have aimed to estimate the influence intangible capital has on stock market capitalization. Taking patents and scientific publications as indicators of intangible capital stock, our results suggest that only patents drive the market value of a firm; scientific papers authored by company researchers do not. The remainder of this paper provides a brief overview of the Japanese market for pharmaceuticals, before introducing the analytical framework of this empirical exercise. The paper closes with a discussion of the results and a conclusion.

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Market value and intangible capital

Starting with the seminal paper by Griliches (1981), a vast literature has evolved on the relationship between intangible capital and market value.

The pharmaceutical industry provides a good example of the importance of intangible assets, since pharmaceutical firms spend around 10 to 20 per cent of their turnover on R&D. Like other investments, R&D investments increase the (intangible) capital stock of a firm. However, balance sheets do not properly account for intangible capital and in effect the amount of intangible capital is underestimated in company reports. For that reason, the firm assets base as reported in a balance sheet can provide only limited insights into the real value of a company. Assuming rational and informed investors, the stock market value of a company gives a much better picture of a company's assets, as it also incorporates the value of the intangible capital stock. In an empirical context, therefore, researchers regress Tobin's q (the ratio of a firm's market value to its book value) on the value of some indicators of intangible capital, like R&D expenditures or patents.

The pioneering work by Griliches (1981) and Pakes (1985) established a positive relationship between Tobin's q and patent and R&D stock. Numerous researchers subsequently validated the results (Cockburn and Griliches, 1988; Megna and Klock, 1993; Fleischer, 1999). Using Japanese data on three different high-tech industries (drugs, chemicals and electronics), a study undertaken by Haneda and Odagiri (1998) confirmed the results. Moreover, they suggest that the impact of R&D and patents on a firm's market to book value is up to ten times higher in pharmaceuticals, compared with other industries.

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Model

To examine the relationship between intangible assets and market value, we employed a very basic model, where the market value V of a firm i in period t arises from the value of its physical capital A and intangible capital K.

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The coefficient q denotes the market valuation coefficient of the firm's assets, ie the multiplier of the market value relative to the replacement costs of total assets. italic gamma is the shadow price of the intangible capital stock relative to the physical capital stock. If italic gamma is higher than unity, the contribution of intangible assets exceeds that of tangible assets. Estimation results reported by Jaffe (1986) suggest that the coefficient italic gamma is around three, that is, the capital market values one dollar of intangible capital three times higher than one dollar of tangible capital.

Taking logarithms in (1) leads to

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If constant returns to scale are assumed, sigma is unity and the equation becomes

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We approximate the last term by italic gamma (Kit/Ait), which holds for small values of K/A due to log (1+X)approximatelyx. Therefore, the equation becomes

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In an empirical context, all the studies mentioned above have in common that they use R&D and patent data as right-hand variables. It must be considered that R&D expenditures are an input indicator within the innovation process. Patents, on the other hand, are usually considered an output measure of R&D investment, with the two variables being highly correlated. This would impose a problem from an empirical perspective, since the presence of co-linearity would increase the variance of the estimation and thus estimates cannot be held with much confidence. To avoid the above problems, we took patents and publications instead, corresponding to the 'two faces of R&D' identified by Cohen and Levinthal (1989, 1990). While the number of international patents measures the potential commercial success of R&D efforts, publications in scientific journals measure competence in the basic research that leads to the development of long-term absorptive capacity. On that note, publications and patents measure basically two different aspects of intangible capital and therefore fit better into the model. Hence, we used both the stock of patents (PATSTO) and the stock of publications (PUBSTO) as proxies for the intangible capital stock K. The stock variables were calculated as follows:

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that is, current patent stock equals this period's patents (PAT) plus last year's patent stock, which depreciates at rate delta. Iteration leads to

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Equation (6) can be approximated as

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where delta is the depreciation rate and g the estimated growth rate of patents and publications. It is calculated for each firm individually. We assume delta to be 20 per cent, which is between the 13.5 per cent used by Haneda and Odagiri (1998) and the 25 per cent estimated by Pakes and Shankerman (1984).

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Data and estimation method

The sample comprises 34 Japanese pharmaceutical companies during the period 1987–1998. Our sample covers all Japanese corporations that both belong to industry group 283 (drugs) of the 'Standard Industrial Classification (SIC)' System and are listed at the Tokyo stock exchange. The data were collected from various sources. Financial data are from the S&P global vantage database, whereas pharmaceutical and biotechnological patents are from the European Patent Office. Our patent data include subgroups of the following 'International Patent Classification' (IPC) main groups with reference to biotechnology and pharmaceuticals: A23C11; A23C21; A23C9; A23G3; A23J3; A23K1; A23K1; A23L1; A23L3; A61K31; A61K33; A61K35; A61K37; A61K38; A61K39; A61K45; A61K47; A61K49; A61K6; A61K9; C07G11; C12M1; C12N1; C12N1; C12N11; C12N15; C12N5; C12N9; C12P1; C12P13; C12P17; C12P19; C12P21; C12P25; C12P35; C12P41; C12P7; C12Q1. The distribution of patents according to the IPC codes is as follows: A23 (Food or Foodstuffs), 3.5 per cent; A61 (Medical and Veterinary Sciences), 55.7 per cent; C07 (Organic Chemistry), 0.8 per cent; C12 (Biochemistry; Beer, Spirits, Wine, Vinegar, Microbiology, Enzymology, Mutation or Generic Engineering), 39.9 per cent. The patent data were kindly made available to the author by Francesco Lissoni from Bocconi University, Milan.

Our analysis relies on issued patents (EP-B) rather than patent applications, which may or may not result in effective patent protection. The focus on European patents serves as a kind of quality measure, since only major inventions are patented internationally. The numbers of scientific publications are taken from the Medline database. This international database contains over 12 million entries, dating back to the mid-1960s, and covers 4,800 biomedical journals from 71 countries.

The observation period shows a significant increase in the R&D expenditures ratio as depicted in Figure 3.

Figure 3.
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Top 10 firms in terms of R&D expenditures (Mill. ¥).

Full figure and legend (78K)

Not only the absolute amount of R&D expenditures increased, but also research intensity, in terms of the R&D/sales ratio (Figure 4).

Figure 4.
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Aggregate R&D/Sales ratio of 34 leading Japanese pharmaceutical companies.

Full figure and legend (37K)

The increase in R&D expenditures corresponds to a rise in scientific papers. As Figure 5 reveals, Japanese pharmaceutical companies started to publish extensively in the scientific literature in the late 1980s, until a peak was reached in the mid-1990s. The most active firms regarding publication output were Takeda, with an average of 57.4 papers a year, Fujisawa (56.6) and Daiichi (46.1).

Figure 5.
Figure 5 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Top 10 firms in terms of scientific publications.

Full figure and legend (76K)

However, the increase in scientific papers was not accompanied by a similar development in patents, as Figure 6 displays; it also nicely reveals the random nature of patent output, even on an aggregate level.

Figure 6.
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Top 10 firms in terms of EPO patents.

Full figure and legend (63K)

The most significant patenting companies (by number of patents) during the study period (1987–1998) were Kyowa Hakko, with an average of 9.7 patents a year, Yamanouchi (4.1) and Takeda (3.5). In fact, Kyowa Hakko best exemplifies the process by which a Japanese firm first intensified R&D efforts and subsequently expanded into international markets. In 1989, it completed a large R&D laboratory in Tsukuba and established a company for research and development — Nutri Quest — in the USA. Only 1 year later, two medical representative offices in Düsseldorf (Germany) and New York (USA) were established, which served as drug development bases. In 1992, Kyowa Pharmaceutical commenced operations in the USA, and sales in the UK were initiated a year later in 1993.

The following section presents the results and discusses whether globalization efforts undertaken by Japanese pharmaceutical industry has paid off.

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Results and Discussion

Here, we present the regression results of Equation (4). We employ panel regression techniques with fixed and random effects. Since a Hausman test revealed that the random effects and regressors were correlated, we have discarded the random effects model and report only the results of the fixed effects model. Specification (1) in Table 3 comprises the entire sample for the whole observation period, while specification (2) is limited to the bubble period pre-1990. This particular period deserves special attention, because stock market valuations of firms might have been irrationally exaggerated without reference to real economic indicators. The concept of Tobin's q which acts as our dependent variable, however, assumes a rational assessment of the asset base of a firm. Rational means that a firm's market value can be derived by its future cash-flow stream. Finally, in specification (3), an auto regression term was introduced into the equation in order to account for possible autocorrelation, which typically occurs in panel data. Finally, we experimented with some control variables such as size, as measured by the number of employees, and profitability, as measured by profits on total assets, that may potentially influence Tobin's q. Following Hirshey and Weygandt (1985), we also included sales growth in the equation. As the results were not altered much by the control variables, we report only the outcome of the latter specification in column (4).


In all specifications, patent stock positively contributes to a firm's market value, as can be seen from Table 3. This impact was expected and especially strong during the bubble period. Already Mansfield et al. (1981) had concluded that patent protection is key in pharmaceutical innovation, and this assertion still holds true today. Patents serve as the major protective device of new molecules or innovative formulations in the pharmaceutical industry. Our estimated patent stock coefficient is around twice as high as that reported in Haneda and Odagiri (1998), who used local patents issued at the Japanese patent office. As we use patents of the European Patent Office, this result satisfactorily confirms the higher value of international patents.

Regarding the stock of scientific publications, we find a negative relationship that is also highly significant in all specifications. This result is puzzling, since it implies that publications as an indicator of scientific competence seem to reduce a firm's market value. Either publications are not an appropriate indicator of scientific competence or — and this is the more likely explanation — markets assess basic research as costly and attach only limited value to the possible long-term benefits of scientific competence. This might be particularly true in the Japanese case, in which scientific excellence has not been an issue in the past. Additionally, even if investors notice the possible benefits of scientific endeavors, they might also be well aware of the risky nature of basic research, because the link between scientific research and a marketable product is very vague. Against this background, publishing activities might be regarded as a waste of time, hindering company researchers from working on their more goal-oriented day-to-day tasks (Allen, 1977). Unless a firm operates close to the scientific frontier, it might economically make more sense to free ride on knowledge created elsewhere.

Moreover, the development of scientific expertise and its potential returns might be impeded by path dependencies. Path dependencies play a very prominent role in the so-called resource-based management literature (eg Conner and Prahalad, 1996). Within this school of thought, path-dependent processes lead to the development of firm-specific capabilities or core competencies that cannot be replicated easily. As Leonard-Barton (1992) rightly noted, core competencies may easily turn into core rigidities in dynamic environments. Firms then find themselves locked in by choices made in the past. In the context of the Japanese pharmaceutical industry, their core competence has been in domestic sales and marketing. These core competencies, however, might turn into core rigidities under changing circumstances. The importance of personal intensive detailing has increased, while requirements on the development side have risen drastically. To diversify competencies is not only a difficult task, but also a very costly and time-consuming one.

The relatively low level of R2, which measures the overall fit of the model, is slightly disappointing. Obviously, Tobin's q is driven by many other factors we did not account for. One option to improve the model's goodness of fit would be to include a quality weight of both patents and publications. In the literature, the number of citations in subsequent patents is used for this purpose (Trajtenberg, 1990). Harhoff et al. (1999, 2003) show that the inventor's perception of a patent's economic value correlates with the number of citations. Hall et al. (2000) and Hirshey and Richardson (2001, 2004) find evidence that highly cited patents have a more significant impact on Tobin's q than average patents. Nagaoka (2005) confirms this assertion with Japanese data.

For publications the same argument holds. An introduction of a quality measure, such as the 'journal impact factor' or the number of forward citations, might improve the results. To account for knowledge transfer from universities and public research institutes, one could also imagine analysing co-authorship behaviour. Through collaboration with university researchers, firms can acquire new skills in new areas and gain access to new technology and knowledge (Hicks et al., 1996). Research collaboration in terms of joint publications is therefore believed to have a positive impact on R&D productivity (Zucker and Darby, 1995; Cockburn and Henderson, 2001). Future research certainly should take this issue into consideration.

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Plausibility Considerations

Our results suggest that patents drive a firm's market value, while publications do not. This conclusion only makes sense when patents and publications are not positively related to each other. But a positive relation conjecture is often in the literature. Gambardella (1992), for instance, claimed that scientific publications measure a firm's absorptive capacity, which helps to exploit external knowledge. Using data on US pharmaceutical companies, he found that the number of patents and publications are closely related, which he interprets as evidence for his view. Subsequently, Henderson and Cockburn (1994), Zucker and Darby (1997), Cockburn and Henderson (2001) and Lim (2004) came to similar conclusions.

To check the robustness and plausibility of our result, we investigated in more detail the relationship between patents and publications. Following Gambardella (1992), we assert that the patent discovery process follows a Poisson distribution with parameter lambda:

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Parameter lambda depends on a vector of explanatory variables X. Assuming a log-linear relation between lambda and the X (log lambdait=betaXit), the expected value of (8) for a given value of Xit is

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Using R&D expenditures and the number of publications of a firm as explanatory variables, one can write the estimation equation as follows:

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We estimate this equation with general least squares, Poisson and negative binomial regression methods. The Poisson distribution assumes that the variance of the number of occurrences equals the number of occurrences. Real date often displays over dispersion, meaning that the variance is greater than the expected value. The negative binomial distribution takes account of that by introducing an individual, unobserved effect into the conditional mean. Table 4 exhibits the regression results.


We see that for our sample of Japanese firms, only R&D expenditures drive the 'discovery rate' of patents; publications do not. To introduce a kind of quality weight of the publication variable, we limited the analysis to English-language publications. Even in that case we do not find a relation between publications and patents. This result contradicts Gambardella's (1992) US sample, where the estimated coefficients of the publication variable range between 0.25 and 0.31, around five times higher than in our (insignificant) Japanese case. However, the results are in line with those of Mahlich (2005). Using firm-level data of European pharmaceutical firms, evidence was found that the number of publications is not correlated with patent applications. In a subsequent paper, Mahlich (2006) argues that the missing link between publications and patents for non-American R&D labs results from institutional differences in the labor market. American researchers face a greater incentive to publish than their European or Asian counterparts, as publications play a more important role in America, both as an intra- and inter-firm competence signal.

This means that it is not the publication per se that creates value through the development of an absorptive capacity. The causality might be rather the other way round and high-caliber researchers demand the opportunity from their employers to publish in the scientific literature. Applying this reasoning to our Japanese case would mean that companies like Tanabe, which have only a tiny technological base measured in patent grants, need to let their researchers publish just in order to attract good graduates.

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Conclusion

This paper has discussed the strategic response of Japanese pharmaceutical firms to the major challenges of the 1980s and 1990s, namely harmonization of the institutional framework and increased cost consciousness in Japanese health policy. We have argued that Japanese firms reacted with considerable investment in the intangible capital required to build up the scientific competence needed for a successful presence in global markets. R&D investments were associated with international market expansion to compensate for declining domestic sales.

In an empirical exercise, it was shown that such efforts have only partly been rewarded in financial markets. While the patent stock had the expected positive impact on a firm's Tobin's q, scientific journal publications were negatively correlated with a firm's market value. This result was explained by possible path dependencies aggravating the diversification of a firm's knowledge base. Although efforts towards the acquisition of long-term absorptive capacity have not fully been rewarded by financial markets, Japanese pharmaceutical firms had no alternative. Thus, the future will certainly bring no reversion of the observed development.

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